期刊
M&SOM-MANUFACTURING & SERVICE OPERATIONS MANAGEMENT
卷 12, 期 2, 页码 347-364出版社
INFORMS
DOI: 10.1287/msom.1090.0272
关键词
service operations; health-care management; stochastic methods
资金
- National Science Foundation [0620736]
- Directorate For Engineering
- Div Of Civil, Mechanical, & Manufact Inn [0620736] Funding Source: National Science Foundation
This paper develops a framework and proposes heuristic dynamic policies for scheduling patient appointments, taking into account the fact that patients may cancel or not show up for their appointments. In a simulation study that considers a model clinic, which is created using data obtained from an actual clinic, we find that the heuristics proposed outperform all the other benchmark policies, particularly when the patient load is high compared with the regular capacity. Supporting earlier findings in the literature, we find that the open access policy, a recently proposed popular scheduling paradigm that calls for meeting today's demand today, can be a reasonable choice when the patient load is relatively low.
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